*/
package jalview.analysis;
+import jalview.analysis.scoremodels.PIDModel;
+import jalview.analysis.scoremodels.SimilarityParams;
import jalview.datamodel.AlignmentAnnotation;
import jalview.datamodel.AlignmentI;
import jalview.datamodel.AlignmentOrder;
import jalview.datamodel.SequenceGroup;
import jalview.datamodel.SequenceI;
import jalview.datamodel.SequenceNode;
-import jalview.util.Comparison;
import jalview.util.MessageManager;
import jalview.util.QuickSort;
import java.util.ArrayList;
+import java.util.Arrays;
import java.util.List;
/**
static boolean sortOrderAscending = true;
- static NJTree lastTree = null;
+ static TreeModel lastTree = null;
static boolean sortTreeAscending = true;
private static boolean sortLengthAscending;
/**
- * Sort by Percentage Identity w.r.t. s
+ * Sorts sequences in the alignment by Percentage Identity with the given
+ * reference sequence, sorting the highest identity to the top
*
* @param align
* AlignmentI
* @param s
* SequenceI
- * @param tosort
- * sequences from align that are to be sorted.
- */
- public static void sortByPID(AlignmentI align, SequenceI s,
- SequenceI[] tosort)
- {
- sortByPID(align, s, tosort, 0, -1);
- }
-
- /**
- * Sort by Percentage Identity w.r.t. s
- *
- * @param align
- * AlignmentI
- * @param s
- * SequenceI
- * @param tosort
- * sequences from align that are to be sorted.
- * @param start
- * start column (0 for beginning
* @param end
*/
- public static void sortByPID(AlignmentI align, SequenceI s,
- SequenceI[] tosort, int start, int end)
+ public static void sortByPID(AlignmentI align, SequenceI s)
{
int nSeq = align.getHeight();
float[] scores = new float[nSeq];
SequenceI[] seqs = new SequenceI[nSeq];
+ String refSeq = s.getSequenceAsString();
+ SimilarityParams pidParams = new SimilarityParams(true, true, true,
+ true);
for (int i = 0; i < nSeq; i++)
{
- scores[i] = Comparison.PID(align.getSequenceAt(i)
- .getSequenceAsString(), s.getSequenceAsString());
+ scores[i] = (float) PIDModel.computePID(align.getSequenceAt(i)
+ .getSequenceAsString(), refSeq, pidParams);
seqs[i] = align.getSequenceAt(i);
}
* @return DOCUMENT ME!
*/
private static List<SequenceI> getOrderByTree(AlignmentI align,
- NJTree tree)
+ TreeModel tree)
{
int nSeq = align.getHeight();
* @param tree
* tree which has
*/
- public static void sortByTree(AlignmentI align, NJTree tree)
+ public static void sortByTree(AlignmentI align, TreeModel tree)
{
List<SequenceI> tmp = getOrderByTree(align, tree);
public static void sortByFeature(String featureLabel, String groupLabel,
int start, int stop, AlignmentI alignment, String method)
{
- sortByFeature(featureLabel == null ? null
- : new String[] { featureLabel }, groupLabel == null ? null
- : new String[] { groupLabel }, start, stop, alignment, method);
+ sortByFeature(
+ featureLabel == null ? null
+ : Arrays.asList(new String[] { featureLabel }),
+ groupLabel == null ? null : Arrays
+ .asList(new String[] { groupLabel }), start, stop,
+ alignment, method);
}
private static boolean containsIgnoreCase(final String lab,
- final String[] labs)
+ final List<String> labs)
{
if (labs == null)
{
{
return false;
}
- for (int q = 0; q < labs.length; q++)
+ for (String label : labs)
{
- if (labs[q] != null && lab.equalsIgnoreCase(labs[q]))
+ if (lab.equalsIgnoreCase(label))
{
return true;
}
return false;
}
- public static void sortByFeature(String[] featureLabels,
- String[] groupLabels, int start, int stop, AlignmentI alignment,
- String method)
+ public static void sortByFeature(List<String> featureLabels,
+ List<String> groupLabels, int start, int stop,
+ AlignmentI alignment, String method)
{
if (method != FEATURE_SCORE && method != FEATURE_LABEL
&& method != FEATURE_DENSITY)
scoreLabel.append(start + stop + method);
// This doesn't quite work yet - we'd like to have a canonical ordering that
// can be preserved from call to call
- for (int i = 0; featureLabels != null && i < featureLabels.length; i++)
+ if (featureLabels != null)
{
- scoreLabel.append(featureLabels[i] == null ? "null"
- : featureLabels[i]);
+ for (String label : featureLabels)
+ {
+ scoreLabel.append(label);
+ }
}
- for (int i = 0; groupLabels != null && i < groupLabels.length; i++)
+ if (groupLabels != null)
{
- scoreLabel.append(groupLabels[i] == null ? "null" : groupLabels[i]);
+ for (String label : groupLabels)
+ {
+ scoreLabel.append(label);
+ }
}
/*
for (int f = 0; f < sf.length; f++)
{
// filter for selection criteria
- if (
- // ignore features outwith alignment start-stop positions.
- (sf[f].end < sstart || sf[f].begin > sstop) ||
- // or ignore based on selection criteria
- (featureLabels != null && !AlignmentSorter
- .containsIgnoreCase(sf[f].type, featureLabels))
- || (groupLabels != null
- // problem here: we cannot eliminate null feature group features
- && (sf[f].getFeatureGroup() != null && !AlignmentSorter
- .containsIgnoreCase(sf[f].getFeatureGroup(),
- groupLabels))))
+ SequenceFeature feature = sf[f];
+
+ /*
+ * double-check feature overlaps columns (JAL-2544)
+ * (could avoid this with a findPositions(fromCol, toCol) method)
+ * findIndex returns base 1 column values, startCol/endCol are base 0
+ */
+ boolean noOverlap = seqs[i].findIndex(feature.getBegin()) > stop + 1
+ || seqs[i].findIndex(feature.getEnd()) < start + 1;
+ boolean skipFeatureType = featureLabels != null
+ && !AlignmentSorter.containsIgnoreCase(feature.type,
+ featureLabels);
+ boolean skipFeatureGroup = groupLabels != null
+ && (feature.getFeatureGroup() != null && !AlignmentSorter
+ .containsIgnoreCase(feature.getFeatureGroup(),
+ groupLabels));
+ if (noOverlap || skipFeatureType || skipFeatureGroup)
{
// forget about this feature
sf[f] = null;
else
{
// or, also take a look at the scores if necessary.
- if (!ignoreScore && !Float.isNaN(sf[f].getScore()))
+ if (!ignoreScore && !Float.isNaN(feature.getScore()))
{
if (seqScores[i] == 0)
{
}
seqScores[i]++;
hasScore[i] = true;
- scores[i] += sf[f].getScore(); // take the first instance of this
+ scores[i] += feature.getScore(); // take the first instance of this
// score.
}
}